Andrew Howard

About

Andrew Howard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Andrew Howard has authored 17 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Andrew Howard’s work include Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Andrew Howard is often cited by papers focused on Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Andrew Howard collaborates with scholars based in United States and United Kingdom. Andrew Howard's co-authors include Mark Sandler, Ruoming Pang, Mingxing Tan, Bo Chen, Vijay Vasudevan, Quoc V. Le, Hartwig Adam, Liang-Chieh Chen, Grace Chu and Weijun Wang and has published in prestigious journals such as Journal of Machine Learning Research, IEEE Transactions on Nuclear Science and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Andrew Howard i

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Fields of papers citing papers by Andrew Howard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Howard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew Howard. The network helps show where Andrew Howard may publish in the future.

Countries citing papers authored by Andrew Howard

Since Specialization

Citations

This map shows the geographic impact of Andrew Howard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Howard more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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